## Reflection: Student Grouping One-Variable Distribution Activity - Section 2: Comparing Quantitative Data Activity

Choosing student groups for an open ended project of this type can be tricky. Besides considering skill level, individual personalities, compatible work habits, and artistic skill, this project also requires a consideration of personal interests. Students who are genuinely interested in the dataset chosen by their group will have more buy-in and ultimately more retention of the skills required for the final product. Sometimes, I find that it helps for students to jot down a couple of their own ideas first. While they are doing some preliminary independent research, I can use these ideas to sort students with like interests.

Additionally, this poster task is easily compartmentalized (create comparative boxplots, stemplots, histograms, verbally compare and contrast these measures, and make an artistic display). This compartmentalization makes fair division of labor easier than usual. Because of this, I find that it makes a good opportunity to try out some student groupings that we haven’t yet experienced.

Choosing Student Groups
Student Grouping: Choosing Student Groups

# One-Variable Distribution Activity

Unit 6: Statistics: Single-Variable
Lesson 4 of 13

## Big Idea: Graphs and summary statistics help us communicate the most important features of one-variable data sets.

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Standards:
Subject(s):
Math, histograms, univariate data, Statistics, dotplot, sample means, Skewness, outlier (Stats), standard deviation, Algebra 2, statistical significance
90 minutes

### Colleen Werner

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